{"id":1191793,"url":"https://alion.io/job/randstad-hungary-senior-applied-ml-engineer-reinforcement-learningrecommenderscomputer-vision","title":"Senior Applied ML Engineer (Reinforcement Learning/Recommenders/Computer Vision)","company":{"id":2215937,"name":"Randstad Hungary","domain":"randstad.hu","url":"https://alion.io/company/randstad-hu","size_band":"1001-5000","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_company_offices","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["HU"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":117000,"max_usd":256000,"period":"year","method":"global_role_seniority_cell","sample_n":1271},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Feature Store","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"Recommender Systems","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-07-08T09:40:03Z","employer_posted_date":"2026-07-08","last_verified_at":"2026-09-25T00:55:17Z","board_verified":true,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":78},"description":"Career Growth\n\nCollaborative Team\n\nExciting Projects\n\nRemote Work\n\nResponsibilities\nRL & Decision Optimization: Design environments and reward functions; deploy policies safely using offline evaluation and gradual rollouts.\n\nRecommender Systems: Build hybrid candidate generation and ranking stacks; drive impact through rigorous statistical experimentation.\n\nComputer Vision: Develop high-performance CV pipelines (classification/detection) optimized for real-world latency and robustness.\n\nProductionization: Deploy models as scalable services; implement monitoring for drift, data quality, and automated feature pipelines.\n\nTechnical Leadership: Raise engineering standards through design reviews, mentorship, and cross-team collaboration\n\nRequirements\nSenior ML Expertise: 5+ years in applied ML/MLE (2+ years at senior/lead level) with mastery of PyTorch or TensorFlow for deep learning debugging and inference.\n\nSpecialized Domain Ownership: Proven production experience in at least one area: RL/Contextual Bandits, Recommender Systems (Ranking/Retrieval), or Computer Vision.\n\nCore Engineering: Strong command of algorithms, data structures, and performance optimization alongside MLOps basics (Containers, CI/CD, Monitoring).\n\nAdvanced ML Ops & Scaling: Experience with distributed compute (Ray/Spark), feature stores, and streaming/event-driven pipelines for real-time decisioning.\n\nEvaluation & Reliability: Expertise in offline/online experimentation and a strong SRE mindset for maintaining ML service SLOs and incident readiness.","description_format":"text","description_chars":1542,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Hungary","iso":"HU","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotic Software & Control Systems"],"lifecycle":[{"event":"open","at":"2026-09-24T17:00:12Z"}],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.338,"p_room":0.36,"age_days":78,"expected_fill_days":52,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-09-25T04:06:59Z"},"pay":null,"html_url":"https://alion.io/job/randstad-hungary-senior-applied-ml-engineer-reinforcement-learningrecommenderscomputer-vision","json_url":"https://alion.io/job/randstad-hungary-senior-applied-ml-engineer-reinforcement-learningrecommenderscomputer-vision.json","meta":{"generated_at":"2026-09-25T04:06:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4456,"day_limit":5000,"remaining_today":544,"minute_limit":60,"resets_at":"2026-09-26T00:00:00Z"}}}